Hello, dear friends! Iβm Avishek Giri, and Iβm thrilled to welcome you all to this blogΒ . If you are planning to build a strong career in data analytics, machine learning, or applied AI, the Ericsson Recruitment 2025 drive has opened a major opportunity for skilled candidates. Ericsson, one of the worldβs biggest tech and network innovation companies, is hiring Data Scientists for its analytics and AI division in Bangalore, Karnataka.
With the rapid shift toward digital transformation in industries across the globe, the demand for experienced data professionals has grown significantly. This hiring program from Ericsson offers a promising platform for both experienced engineers and passionate AI enthusiasts who want to work on advanced data-driven solutions and contribute to global-scale projects.
Job Overview
The Data Scientist role at Ericsson is designed for individuals who enjoy solving business challenges using data, machine learning, and advanced engineering practices. The position is based at Ericssonβs Bangalore office, which is one of the companyβs most active and innovation-focused locations.
In this role, you will work closely with cross-functional teams to design AI models, build analytics frameworks, and create intelligent solutions that support Ericssonβs large-scale telecom and digital service operations.
Candidates with hands-on experience in machine learning, predictive modelling, data pipelines, statistical computing, or cloud analytics will find this role a perfect match.
Role Details
Company Name: Ericsson
Role: Data Scientist
Location: Bangalore, Karnataka, India
Qualification: Bachelorβs/Masterβs degree in any relevant discipline
Experience: Relevant experience in ML, AI, or Data Science
Salary Range: βΉ10 LPA β βΉ22 LPA
Job ID: 774396
Application Mode: Online
Understanding the Position
The Data Scientist position at Ericsson is not a theoretical or purely research-based role. It focuses on real-world data applications, model design, deployment, optimization, and creating tools that impact millions of network users. You will work on AI-powered systems that support:
- Network reliability
- Customer experience enhancement
- Intelligent automation
- Predictive analytics
- Real-time decision-making
The work environment is collaborative, technology-driven, and perfectly suited for professionals who love building solutions that have measurable impact.
Key Responsibilities
Working on Technical Requirements
The first responsibility of the role involves understanding complex technical requirements and optimizing them based on business needs. Ericsson works with data at a massive scale, so you will analyze system constraints, network challenges, and workflow goals before developing solutions.
Designing & Building Machine Learning Solutions
Your main work includes developing ML models such as:
- Predictive analytics systems
- Recommendation engines
- Deep learning architectures
- Anomaly detection frameworks
- AI-based automation models
These models will be used across Ericssonβs product ecosystem, including cloud services, telecom networks, and enterprise platforms.
Programming & Advanced Engineering
The role requires strong programming knowledge. You will use:
- Python
- SQL
- PySpark
- ML libraries and open-source tools
Your work will include writing efficient code, optimizing workflows, and creating scalable analytics pipelines.
ML Deployment (Cloud & On-Premise)
Ericsson supports both cloud-based and on-premise deployments. You will work on designing MLOps workflows, packaging ML models for deployment, and ensuring deployment performance remains stable and reliable.
Cross-Team Collaboration
You will collaborate with leadership, engineering teams, and business heads to align analytics models with organizational goals.
This includes defining:
- Performance metrics
- Success indicators
- Future development roadmaps
Mentoring Junior Members
Senior candidates may guide junior data scientists, review their code, and help them understand complex modelling concepts. Ericsson encourages a culture of knowledge sharing and teamwork.
Skills Required
Technical Expertise
Ericsson expects strong hands-on skills in:
- Machine learning algorithms
- Applied AI techniques
- Data preprocessing and feature engineering
- Python and SQL
- PySpark for large-scale data processing
- Data engineering and pipeline building
- Cloud development
- Distributed computing frameworks
Analytical & Logical Reasoning
A solid foundation in:
- Probability
- Mathematical modelling
- Statistical computing
- Data interpretation
Software Engineering Practices
You must be comfortable with:
- Clean coding standards
- Version control
- Model lifecycle management
- Debugging and optimization
Additional Knowledge
Understanding Ericssonβs Business Intelligence and Analytics Competence areas is a plus.
Experience with:
- Big data tools
- Real-time analytics
- MLOps pipelines
is also beneficial.
Why Join Ericsson?
Ericsson is known for its strong research culture, global reach, and innovative work environment. Working here as a Data Scientist is a highly rewarding opportunity for anyone planning a long-term career in AI/ML.
Innovation-Driven Culture
Ericsson leads innovation in:
- 5G networks
- Automation systems
- Digital transformation
- Cloud and AI technologies
You will get the opportunity to work on cutting-edge projects with global relevance.
Learning & Career Growth
The company supports continuous learning through:
- Internal training
- Certifications
- Workshops
- Mentorship programs
Employees are encouraged to explore new technologies and expand their skill sets.
Global Impact
Solutions built at Ericsson are used across continents. Your work will affect millions of users, telecom operators, and businesses.
Inclusive & Supportive Environment
Ericsson promotes diversity and encourages equal opportunities for candidates from different backgrounds. The work culture is collaborative, balanced, and employee-friendly.
Salary Package
Ericsson offers a competitive salary range of βΉ10 LPA to βΉ22 LPA, depending on:
- Experience
- Technical skills
- Interview performance
- Expertise in ML and cloud
Additional benefits include:
- Performance-based bonuses
- Health benefits
- Learning support
- Work-life balance policies
Hiring Location
Primary Location: Bangalore, Karnataka
Work Environment: Hybrid or office-based
Bangalore is known for its vibrant IT ecosystem, making it the ideal place for AI and data analytics roles.
How to Apply
Follow these steps to apply for Ericsson Recruitment 2025 β Data Scientist:
- Visit the official Ericsson Careers website.
- Search using Job ID 774396 or type βData Scientistβ in the search bar.
- Open the job page and click βApply Nowβ.
- Create an account or log in.
- Fill in the application form carefully.
- Upload your updated resume.
- Submit the form and wait for updates from the hiring team.
Ericsson encourages applications even if you donβt meet every listed requirement. The company values potential, transferable skills, and a willingness to learn.
About Ericsson
Ericsson is one of the worldβs largest providers of telecom and digital technology solutions. With a presence in more than 180 countries, the company drives global innovation in areas such as:
- Wireless communication
- Cloud infrastructure
- AI & advanced analytics
- Network automation
- Digital transformation
Ericsson also invests heavily in research, sustainability, and future-ready technologies. Joining the company gives you the opportunity to contribute to world-changing projects while building a stable and rewarding career.
Conclusion
The Ericsson Recruitment 2025 drive for the Data Scientist role is an excellent opportunity for candidates who want to build a strong foundation in machine learning, data engineering, and applied analytics. With access to global platforms, advanced technologies, and a collaborative work environment, Ericsson offers a career path filled with learning, innovation, and long-term growth.
If you are passionate about solving real-world problems using AI and want to contribute to next-generation technologies, this is one of the best roles to apply for.
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